Pytorch implementation of adabmDCA

Code for the article: "From Scarce Functional Labels to Label-Aware Generation in Homologous Protein Families"

Code for the paper "Data augmentation enables label-specific generation of homologous protein sequences".

pseudo-likelihood Maximization Direct Coupling Analysis (plmDCA) 2.0

Julia implementation of adabmDCA

adabmDCA 2.0 – a flexible but easy-to-use package for Direct Coupling Analysis

auto-regressive Direct Coupling Analysis (arDCA) 2.0

C/C++ implementation of adabmDCA

Genie. jl is designed for implementing and analyzing evolutionary trajectories in protein evolution. It incorporates a data-driven model to simulate the effects of mutations, epistasis, and selection across varying time scales, facilitating a deeper understanding of protein diversity and functionality.